About the Role
What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients? We're looking for a Precision Medicine Data Lead to guide how complex healthcare datasets are integrated, governed, and transformed into actionable insights — and in doing so, help train the AI systems that will define the next generation of clinical research and care.
This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of cutting-edge AI and life sciences.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
- Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
- Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory alignment, and strategic coherence
- Communicate findings and data narratives clearly to both technical and non-technical stakeholders
- Apply your expertise to evaluate and improve how AI systems handle healthcare and genomic data — ensuring outputs are accurate, rigorous, and clinically meaningful
Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
- Strong background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences
- Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Comfortable navigating the nuances of healthcare data compliance and research ethics
- Detail-oriented, self-directed, and comfortable working independently in an asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Familiarity with EHR systems, genomic databases, or biomedical ontologies
- Background in bioinformatics, computational biology, or clinical informatics
- Experience contributing to precision medicine or translational research initiatives
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Make a direct, tangible impact on how AI understands and advances human health
- Potential for ongoing work and contract extension as new projects launch